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  1. Article ; Online: Combined impact of summer NAO and northern Russian shortwave cloud radiative effect on Eurasian atmospheric circulation

    Le Liu / Bingyi Wu / Shuoyi Ding

    Environmental Research Letters, Vol 18, Iss 1, p

    2023  Volume 014015

    Abstract: Based on ERA-Interim and CERES_SYN1deg Ed4.1 datasets, the combined influence of summer North Atlantic Oscillation (SNAO) and positive shortwave cloud radiative effect (SWCRE) events in northern Russia on Eurasian atmospheric circulation is investigated ... ...

    Abstract Based on ERA-Interim and CERES_SYN1deg Ed4.1 datasets, the combined influence of summer North Atlantic Oscillation (SNAO) and positive shortwave cloud radiative effect (SWCRE) events in northern Russia on Eurasian atmospheric circulation is investigated at the intraseasonal scale. The impact of the SNAO on the position of the North Atlantic storm track is modified combined with the Ural anticyclone anomaly contributed by positive northern Russian SWCRE anomalies, which could affect the summer stationary wave pattern. During positive northern Russian SWCRE events under SNAO+, the upstream wave train enhanced by the southward Ural anticyclone anomaly is easily trapped by the northward South Asian jets, thus propagating to low latitudes and causing extreme heat events in East Asia. Under SNAO-, the wave train propagates in the British–Baikal Corridor pattern along polar front jet towards the Far East, slowing down the dramatic melting of sea ice in the Laptev and East Siberian seas. Summer positive SWCRE events in northern Russian act as a bridge by promoting the emergence of the Ural anticyclone anomaly, influencing extreme weather in East Asia and Arctic sea ice variability.
    Keywords shortwave cloud radiative effect ; summer North Atlantic Oscillation ; extreme heatwaves ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350 ; Science ; Q ; Physics ; QC1-999
    Subject code 551
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher IOP Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: A novel fatty acid metabolism‐related gene signature predicts the prognosis, tumor immune properties, and immunotherapy response of colon adenocarcinoma patients

    Le Liu / Liping Liang / Genghui Mai / Ye Chen

    FASEB BioAdvances, Vol 4, Iss 9, Pp 585-

    2022  Volume 601

    Abstract: Abstract Colon adenocarcinoma (COAD) has a high incidence and death rate. Despite the fact that change in fatty acid metabolism promotes tumor growth and metastasis to the greatest degree among metabolite profiles, a thorough investigation on the ... ...

    Abstract Abstract Colon adenocarcinoma (COAD) has a high incidence and death rate. Despite the fact that change in fatty acid metabolism promotes tumor growth and metastasis to the greatest degree among metabolite profiles, a thorough investigation on the involvement of fatty acid metabolism‐related genes (FAMRGs) in COAD has yet not been conducted. Here, the clinical data as well as the gene expression profiles were extracted from The Cancer Genome Atlas (TCGA) database. Based on the FAMRG expression data and clinical information, a FAMRG risk signature was developed using LASSO as well as multivariate and univariate Cox regression analyses. Then, the nomogram was used to create a customized prognostic prediction model, and the calibration and receiver operating characteristic curves were used to evaluate the nomogram's prediction performance and discriminative capability. Lastly, a number of studies were conducted to assess the influence of independent FAMRGs on COAD, including unsupervised cluster analysis, functional analysis, and drug sensitivity analysis. Three hundred and sixty‐seven patients were included in this study, and a 12‐FAMRG risk signature was discovered in the training cohort based on a detailed examination of the FAMRGs expression data and clinical information. After that, risk scores were computed to classify patients into low or high‐risk groups, and the Kaplan–Meier curve analysis revealed that patients in the low‐risk group exhibited an elevated overall survival (OS) rate. The FAMRG was shown to be substantially correlated with prognosis in multivariate Cox regression analysis and was validated using the validation dataset. Then, using the clinical variables and risk signature, we developed and validated a prediction nomogram for OS. Functional characterization showed a strong correlation between this signature and immune cell infiltration and immune modulation. Additionally, by evaluating the GDSC database, it was determined that the high‐risk group exhibited medication resistance to many ...
    Keywords colon adenocarcinoma ; fatty acid metabolism ; nomogram ; prognostic prediction ; tumor immune microenvironment ; Biology (General) ; QH301-705.5
    Subject code 610
    Language English
    Publishing date 2022-09-01T00:00:00Z
    Publisher Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Ultrasound-guided anterior quadratus lumborum block at the L2 level for postsurgical analgesia in patients undergoing laparoscopic gynaecological surgery

    Lili Yang / Quanguang Wang / KeJian Shi / Yaoyao Cai / Lvdan Huang / Le Liu

    BMJ Open, Vol 13, Iss

    a single-centre, randomised, double-blinded trial at a university-affiliated hospital in China

    2023  Volume 10

    Abstract: Objective This study aimed to investigate the analgesic effect of an ultrasound-guided anterior quadratus lumborum block (QLB) at the L2 level on postoperative pain after laparoscopic gynaecological surgery.Design Prospective single-centre randomised ... ...

    Abstract Objective This study aimed to investigate the analgesic effect of an ultrasound-guided anterior quadratus lumborum block (QLB) at the L2 level on postoperative pain after laparoscopic gynaecological surgery.Design Prospective single-centre randomised double-blind trial.Setting University-affiliated hospital.Participants Sixty patients aged between 18 and 65 years scheduled for laparoscopic gynaecological surgery.Interventions Before surgery, bilateral anterior QLB was performed with 20 mL of 0.375% ropivacaine injected on each side in the QLB group, whereas equal amount of saline was administered in the placebo group.Primary and secondary outcome measures The primary endpoint was the cumulative morphine dose in the first 24 hours, and the secondary endpoints were morphine consumption at each time interval, area under the curve (AUC) of the numeric rating scale (NRS) for pain, maximum pain intensity, incidence of moderate-to-severe pain (NRS>3), sedation score, adverse events, and time to home-readiness.Results Cumulative morphine consumption in the first 24 hours after surgery was significantly lower in the QLB group than in the placebo group (mean difference, 14.2; 95% CI 6.3 to 22.1; p<0.001). The AUCs of NRS pain intensity scores, including visceral and incisional pain at rest and on movement, were significantly lower in the QLB group than in the placebo group (all p<0.001). The time to home-readiness was significantly shorter in the QLB group than in the placebo group (p<0.05).Conclusion Ultrasound-guided anterior QLB at the L2 level significantly reduced morphine consumption and relieved visceral and incision pain intensity after laparoscopic gynaecological surgery, which was beneficial for enhanced recovery.Trial registration number Chinese Clinical Trial Registry (ChiCTR-IOR-17011960).
    Keywords Medicine ; R
    Subject code 796
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher BMJ Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Study on the regulation mechanism of cadmium adsorption system mediated by extraneous dissolved organic matter

    Le Liu / Cheng Li / Xiaoning Liu / Yu Gao

    Ecotoxicology and Environmental Safety, Vol 227, Iss , Pp 112930- (2021)

    2021  

    Abstract: Adsorption of biochar on heavy metals is one of the hot spots in the application of biochar. However, the mediation of existing extraneous substances in the environment, such as dissolved organic matter (DOM), could regulate and affect the heavy metals ... ...

    Abstract Adsorption of biochar on heavy metals is one of the hot spots in the application of biochar. However, the mediation of existing extraneous substances in the environment, such as dissolved organic matter (DOM), could regulate and affect the heavy metals adsorption process on biochar. In our study, we mainly focus on the regulation mechanism of modified biochar on the adsorption process of cadmium mediated by exogenous DOM. The modification significantly changed the functional groups composition on biochar, thus improving the adsorption capacity of cadmium on biochar. In the adsorption system concerned, the combination was formed between DOM and cadmium to a certain extent. The combination had a certain correlation with the influence on the adsorption capacity of cadmium onto biochar in the system.
    Keywords Biochar ; Cadmium ; Adsorption ; Regulation ; Environmental pollution ; TD172-193.5 ; Environmental sciences ; GE1-350
    Subject code 500
    Language English
    Publishing date 2021-12-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Optimization of International Roughness Index Model Parameters for Sustainable Runway

    Yu Tian / Shifu Liu / Le Liu / Peng Xiang

    Sustainability, Vol 13, Iss 4, p

    2021  Volume 2184

    Abstract: Pavement roughness is a critical airport pavement characteristic that has been linked to impacts such as safety and service life. A properly defined roughness evaluation method would reduce airport operational risk, prolong the life of aircraft landing ... ...

    Abstract Pavement roughness is a critical airport pavement characteristic that has been linked to impacts such as safety and service life. A properly defined roughness evaluation method would reduce airport operational risk, prolong the life of aircraft landing gear, and optimize the decision-making process for pavement preservation, which together positively contribute to overall airport sustainability. In this study, we optimized the parameters of the International Roughness Index (IRI) model to resolve the current poor correlation between the IRI and aircraft vibration responses in order to adapt and extend the IRI’s use for airport runway roughness evaluation. We developed and validated a virtual prototype model based on ADAMS/Aircraft software for the Boeing 737–800 and then employed the model to predict the aircraft’s dynamic responses to runway pavement roughness. By developing a frequency response function for the standard 1/4 vehicle model, we obtained frequency response distribution curves for the IRI. Based on runway roughness data, we used fast Fourier transform to implement the frequency response distribution of the aircraft. We then utilized Particle Swarm Optimization to determine more appropriate IRI model parameters rather than modifying the model itself. Our case study results indicate that the correlation coefficient for the optimized IRI model and aircraft vibration response shows a qualitative leap from that of the original IRI model.
    Keywords sustainable runway ; pavement service life ; airport ; International Roughness Index (IRI) ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 670
    Language English
    Publishing date 2021-02-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Regional Atmospheric CO 2 Response to Ecosystem CO 2 Budgets in China

    Haixiao Li / Yi Lian / Qianqian Renyang / Le Liu / Zihan Qu / Lien-Chieh Lee

    Remote Sensing, Vol 15, Iss 3320, p

    2023  Volume 3320

    Abstract: The distribution of atmospheric CO 2 is not homogenous, primarily due to variations in the CO 2 budgets of regional terrestrial ecosystems. To formulate a comprehensive strategy to combat the increasing global CO 2 levels and associated warming, it is ... ...

    Abstract The distribution of atmospheric CO 2 is not homogenous, primarily due to variations in the CO 2 budgets of regional terrestrial ecosystems. To formulate a comprehensive strategy to combat the increasing global CO 2 levels and associated warming, it is crucial to consider both the distribution of atmospheric CO 2 and the CO 2 budgets of ecosystems. This study focused on analyzing the relationship between regional atmospheric CO 2 and CO 2 budgets in China from 2010 to 2017. Initially, a robust estimation model of net ecosystem CO 2 exchange was developed to calculate CO 2 budgets using collected emission data. Subsequently, Pearson correlation, redundancy analysis, and geographically weighted regression techniques were employed to examine the link between atmospheric CO 2 levels, CO 2 budgets, and other meteorological factors at various spatial and temporal scales. The findings from the redundancy analysis and geographically weighted regression indicated that the atmospheric CO 2 content of each province could not be solely determined by the regional CO 2 budgets. However, a significant and positive correlation between atmospheric CO 2 levels and CO 2 budgets was observed in non-coastal provinces for a period of six months (R 2 ranging from 0.46 to 0.83). Consequently, it is essential to promote a balance between CO 2 emissions and the CO 2 uptake capacity of regional ecosystems. This balance would minimize positive CO 2 budgets and effectively mitigate the increase in atmospheric CO 2 levels.
    Keywords net ecosystem exchange ; CO 2 emission ; redundancy analysis ; Pearson correlation ; geographically weighted regression ; Science ; Q
    Subject code 290
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Research on SUnet Winter Wheat Identification Method Based on GF-2

    Ke Zhou / Zhengyan Zhang / Le Liu / Ru Miao / Yang Yang / Tongcan Ren / Ming Yue

    Remote Sensing, Vol 15, Iss 3094, p

    2023  Volume 3094

    Abstract: Introduction: Winter wheat plays a crucial role in ensuring food security and sustainable agriculture. Accurate identification and recognition of winter wheat in remote sensing images are essential for monitoring crop growth and yield estimation. In ... ...

    Abstract Introduction: Winter wheat plays a crucial role in ensuring food security and sustainable agriculture. Accurate identification and recognition of winter wheat in remote sensing images are essential for monitoring crop growth and yield estimation. In recent years, attention-based convolutional neural networks have shown promising results in various image recognition tasks. Therefore, this study aims to explore the application of attention-based convolutional neural networks for winter wheat identification on GF-2 high-resolution images and propose improvements to enhance recognition accuracy. Method: This study built a multi-band winter wheat sample dataset based on GF-2 images. In order to highlight the characteristics of winter wheat, this study added two bands, NDVI and NDVI increase , to the dataset and proposed a SUNet network model. In this study, the batch normalization layer was added to the basic structure of the UNet convolutional network to speed up network convergence and improve accuracy. In the jump phase, shuffle attention was added to the shallow features extracted from the coding structure for feature optimization and spliced with the deep features extracted by upsampling. The SUNet made the network pay more attention to the important features to improve winter wheat recognition accuracy. In order to overcome the sample imbalance problem, this study used the focus loss function instead of the traditional cross-entropy loss function. Result: The experimental data show that its mean intersection over union, overall classification accuracy, recall, F1 score and kappa coefficient are 0.9514, 0.9781, 0.9707, 0.9663 and 0.9501, respectively. The results of these evaluation indicators are better than those of other comparison methods. Compared with the UNet, the evaluation indicators have increased by 0.0253, 0.0118, 0.021, 0.0185, and 0.0272, respectively. Conclusion: The SUNet network can effectively improve winter wheat recognition accuracy in multi-band GF-2 images. Furthermore, with the support of ...
    Keywords winter wheat identification ; SUNet ; remote sensing image ; Science ; Q
    Subject code 006
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: A Review of Performance-Oriented Architectural Design and Optimization in the Context of Sustainability

    Shaoxiong Li / Le Liu / Changhai Peng

    Sustainability, Vol 12, Iss 4, p

    Dividends and Challenges

    2020  Volume 1427

    Abstract: As most countries have widespread and growing concerns about the sustainable development of society, the requirement to continuously reduce energy consumption poses challenges for the architecture, engineering and construction (AEC) industry. Performance- ...

    Abstract As most countries have widespread and growing concerns about the sustainable development of society, the requirement to continuously reduce energy consumption poses challenges for the architecture, engineering and construction (AEC) industry. Performance-oriented architectural design and optimization, as a novel design philosophy and comprehensive evolution technology, has been accepted by architects, engineers, and stakeholders for a period of time. Performance in the context of architecture is a widely discussed definition that has long shown a correlation with visual and cultural attributes. Shifting the paradigm of sustainable development while ensuring that the function and aesthetics of the building are not overlooked has been the focus of public attention. Considering the core design elements that affect energy conservation and style performance, the design and optimization of building envelopes, form, and shading systems were selected as research materials. From the perspective of epistemology and methodology, a systematic review of 99 papers was conducted to promulgate the latest development status of energy-efficiency design. This paper manifests a detailed analysis of the design patterns, research features, optimization objectives, and techniques of current approaches. The review found that performance-oriented design optimization can benefit the entire industry from the heuristic knowledge base and the expansion of the design space while maintaining sustainability. In contrast, challenges such as tools, skills, collaboration frameworks, and calibration models are highlighted.
    Keywords performance-oriented ; sustainable architecture ; building envelope ; building form ; shading system ; design and optimization ; aec industry ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 720 ; 690
    Language English
    Publishing date 2020-02-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: SHS Produced TiB 2 -Si Powders for Selective Laser Melting of Ceramic-Based Composite

    Le Liu / Sofiya Aydinyan / Tatevik Minasyan / Irina Hussainova

    Applied Sciences, Vol 10, Iss 3283, p

    2020  Volume 3283

    Abstract: One of the main limitations for widespread additive manufacturing is availability and processability of the precursor materials feedstock. For the first time, this study reports the development of a “pomegranate-like” structured TiB 2 -Si ceramic- ... ...

    Abstract One of the main limitations for widespread additive manufacturing is availability and processability of the precursor materials feedstock. For the first time, this study reports the development of a “pomegranate-like” structured TiB 2 -Si ceramic-metalloid powder feedstock suitable for selective laser melting (SLM) of ceramic-based composite. The powder was produced via self-propagating high temperature synthesis (SHS) at a moderate combustion temperature of 1530 °C. The effective activation energy in the Ti-B-Si system for the slow step of the combustion process was estimated as 184 kJ. Conditions of SHS process demonstrated a strong influence on the properties of produced powders and, therefore, on SLM parameters and properties of the printed materials. The powders have demonstrated a high performance for manufacturing bulks of 56 wt%TiB 2 –44 wt%Si ceramic-based composite.
    Keywords titanium diboride ; ceramic composite ; selective laser melting ; self-propagating high-temperature synthesis ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Language English
    Publishing date 2020-05-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Isolation and Characterization of a Novel Cold-Active, Halotolerant Endoxylanase from Echinicola rosea sp. Nov. JL3085 T

    Jianlong He / Le Liu / Xiaoyan Liu / Kai Tang

    Marine Drugs, Vol 18, Iss 245, p

    2020  Volume 245

    Abstract: We cloned a xylanase gene ( xynT ) from marine bacterium Echinicola rosea sp. nov. JL3085 T and recombinantly expressed it in Escherichia coli BL21. This gene encoded a polypeptide with 379 amino acid residues and a molecular weight of ~43 kDa. Its amino ...

    Abstract We cloned a xylanase gene ( xynT ) from marine bacterium Echinicola rosea sp. nov. JL3085 T and recombinantly expressed it in Escherichia coli BL21. This gene encoded a polypeptide with 379 amino acid residues and a molecular weight of ~43 kDa. Its amino acid sequence shared 45.3% similarity with an endoxylanase from Cellvibrio mixtus that belongs to glycoside hydrolases family 10 (GH10). The XynT showed maximum activity at 40 °C and pH 7.0, and a maximum velocity of 62 μmoL min -1 mg -1 . The XynT retained its maximum activity by more than 69%, 51%, and 26% at 10 °C, 5 °C, and 0 °C, respectively. It also exhibited the highest activity of 135% in the presence of 4 M NaCl and retained 76% of its activity after 24 h incubation with 4 M NaCl. This novel xylanase, XynT, is a cold-active and halotolerant enzyme that may have promising applications in drug, food, feed, and bioremediation industries.
    Keywords xylanase ; endoxylanase ; cold-active ; halotolerance ; marine ; Echinicola rosea ; Biology (General) ; QH301-705.5
    Subject code 333
    Language English
    Publishing date 2020-05-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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